Somer Bishop is a clinical psychologist and professor in residence of psychiatry at the University of California, San Francisco.
Somer Bishop
Assistant professor
University of California, San Francisco
From this contributor
Rethinking autism assessments in the time of COVID-19: Q&A with Bishop, Zwaigenbaum
Moving most clinical assessments online during the coronavirus pandemic has created a digital divide while closing some geographical ones, say Somer Bishop and Lonnie Zwaigenbaum.
Rethinking autism assessments in the time of COVID-19: Q&A with Bishop, Zwaigenbaum
By
Jonathan Moens
2 November 2021 | 7 min read
Questions for Bishop, Havdahl: Tantrums trick autism tests
Children with low intelligence or behavioral issues — but not autism — may meet the criteria for autism on standard diagnostic tests.
Questions for Bishop, Havdahl: Tantrums trick autism tests
By
Ann Griswold
1 November 2016 | 5 min read
Seeking precise portraits of girls with autism
Researchers need to consider new ways of capturing how autism manifests in girls, who may find clever ways of camouflaging their symptoms.
Gauging intelligence in autism over time
Adapting traditional tests of intelligence for people with intellectual disability can deflate their scores over time. Somer Bishop calls for tests that more accurately assess intelligence in this group.
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18 August 2026 | 1 min read
The fun and flexibility of data science
Taylor Bolt spent his Ph.D. and postdoc digging through brain imaging data for clues to cognition. In industry, the datasets are different but the joy of answering questions with data remains.
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Taylor Bolt spent his Ph.D. and postdoc digging through brain imaging data for clues to cognition. In industry, the datasets are different but the joy of answering questions with data remains.
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18 August 2026 | 7 min read
Mind over metrics: How can we tell if two brains (or AI models) are alike?
The ability to record from large populations of neurons has triggered the development of myriad methods for comparing them. But we’re still grappling with how to convert measures of likeness into a better mechanistic understanding.
Mind over metrics: How can we tell if two brains (or AI models) are alike?
The ability to record from large populations of neurons has triggered the development of myriad methods for comparing them. But we’re still grappling with how to convert measures of likeness into a better mechanistic understanding.
By
Alex Williams
17 August 2026 | 7 min read